In silico rhinomanometry - A high fidelity LES CFD simulation study - Dataset

Dataset

In silico rhinomanometry - A high fidelity LES CFD simulation study

DOI

The data set contains raw numerical simulation data obtained from Computational Fluid Dynamics (CFD)simulations in ANSYS Fluent R2019, using the Large Eddy Simulation (LES) turbulence model. The simulations are performed on a 3-dimensional geometry based on medical pre-operative CT images of the nasal cavity of an Obstructive Sleep Apnea (OSA) patient. The geometry model is truncated at the nostrils and at the nasopharynx.

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Identifier
DOI	https://doi.org/10.11582/2023.00126
Metadata Access	https://search-api.web.sigma2.no/norstore-archive/oai/v1.0?verb=GetRecord&metadataPrefix=oai_dc&identifier=doi:10.11582/2023.00126

Provenance
Creator	Johnsen, Sverre Gullikstad; SINTEF AS, SINTEF
Publisher	Norstore Archive
Publication Year	2023
OpenAccess	true
Contact	Norstore Archive

Representation
Language	English
Resource Type	Dataset
Discipline	Natural Sciences; Physics